CN111541244A - Power grid side energy storage device capacity calculation method considering power consumption cost of energy storage device - Google Patents

Power grid side energy storage device capacity calculation method considering power consumption cost of energy storage device Download PDF

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CN111541244A
CN111541244A CN202010364381.7A CN202010364381A CN111541244A CN 111541244 A CN111541244 A CN 111541244A CN 202010364381 A CN202010364381 A CN 202010364381A CN 111541244 A CN111541244 A CN 111541244A
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energy storage
storage device
power grid
power
capacity
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CN111541244B (en
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李琥
齐步洋
刘国静
侯庆春
史静
程锦闽
葛毅
杜尔顺
张宁
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Tsinghua University
Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co Ltd
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Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to a power grid side energy storage device capacity calculation method considering the power consumption cost of an energy storage device, and belongs to the field of optimization planning and energy storage of a power system. Firstly, establishing a charge-discharge life model of the multi-type electrochemical energy storage device, and converting the charge-discharge life of the energy storage device into the charge-discharge electricity consumption cost of the energy storage device; comprehensively considering an optimal planning objective function of a power grid, constraint conditions of elements in the power grid and investment operation cost of the power grid, and establishing a capacity planning model of the power grid side energy storage device considering power consumption cost of the energy storage device; and finally, carrying out optimization solution on the model to obtain an optimization planning scheme of the capacity of the power grid side large-scale energy storage device with the lowest operation cost. The invention takes the power consumption cost of the energy storage device into consideration, provides the capacity calculation method suitable for the power grid side standardized energy storage device, and reduces the investment and operation cost of the power grid while improving the peak-load and frequency-modulation capability and the renewable energy consumption capability of the power grid after being connected into the power grid side energy storage device.

Description

Power grid side energy storage device capacity calculation method considering power consumption cost of energy storage device
Technical Field
The invention relates to a power grid side energy storage device capacity calculation method considering the power consumption cost of an energy storage device, and belongs to the technical field of power system planning and energy storage.
Background
Energy clean low-carbon transformation is an inevitable trend of global energy development, energy storage is a key supporting technology of a smart power grid and a renewable energy high-proportion energy system, the consumption level of the power grid on renewable energy such as wind and light can be obviously improved, and the energy storage technology has important significance for promoting the replacement of main energy in China from fossil energy to renewable energy. The energy storage can provide various services such as peak shaving, frequency modulation, standby, emergency accident response support and renewable energy consumption for the operation of the power grid, is an important means for improving the flexibility, economy and safety of the traditional power system, and can obviously improve the adaptability of the power grid to changes and challenges caused by energy transformation.
The power grid side energy storage can play multiple roles in different time scales, and the planning method relates to multiple factors such as coordination with a power supply and a power grid and operation effect evaluation. Therefore, the power grid side energy storage planning is more complex compared with the traditional power supply and power grid planning, and a complete theoretical method system is still lacked at present. In recent years, with the development of energy storage technology, more and more types of energy storage can be applied, and from the viewpoint of energy storage media, electrochemical energy storage and physical energy storage can be divided. Typical use scenes comprise peak clipping and valley filling of a power grid and capacity type energy storage required by off-grid energy storage; providing peak-shaving frequency modulation and emergency standby energy type energy storage; stabilizing power type energy storage of new energy output fluctuation; and a backup energy storage for providing support for the power grid equipment in an emergency for a short time. The performance requirements of different application scenarios on the energy storage technology are different, and the energy storage cost is the most important parameter for determining the application of the energy storage technology and the development scale of the industry. Energy storage leveling (kilowatt-hour) cost based on energy storage full-life-cycle modeling is an energy storage cost evaluation index which is universal internationally at present, and the evaluation of the kilowatt-hour cost is suitable for capacity type energy storage scenes (such as peak clipping and valley filling), because the kilowatt-hour cost can be directly compared with peak-valley electricity price difference, and whether the energy storage investment has economic benefit or not can be judged by considering the kilowatt-hour cost of an energy storage device in the coordinated optimization planning of a power grid side centralized energy storage power station and a power transmission network.
The energy storage at the power grid side is usually large in scale, is controllable and considerable for each level of dispatching mechanism, can play an active role in various application scenes such as peak clipping and valley filling, blockage relieving and new energy fluctuation stabilizing in the operation of a power system, and guarantees the safe and economic operation of the power grid. However, most of the existing research methods model the energy storage capacity planning in the power grid as a mathematical optimization problem under several candidate schemes. Most of the candidate schemes are manually set, and a method for determining the boundary of the overall energy storage requirement is lacked. In addition, the existing research is generally only oriented to a single application scene, and the total energy storage requirement of system operation under multiple application scenes such as system peak clipping and valley filling and new energy fluctuation stabilization is difficult to quantitatively evaluate. Aiming at the problems, the invention provides a power grid side energy storage capacity planning method considering energy storage and power consumption cost under a multiple application scene.
The related background technology of the invention is a mixed integer linear programming problem computer solving technology: the technology can solve the mixed integer linear programming problem efficiently by using a computer and provide the optimal solution of the programming problem, and the mixed integer linear programming problem in the invention is solved by adopting a CPLEX linear programming method package of IBM company.
Disclosure of Invention
The invention aims to provide a power grid side energy storage device capacity calculation method considering the power consumption cost of an energy storage device, which is suitable for collaborative optimization planning of a power grid side centralized energy storage power station and a power transmission network, minimizes the investment and operation cost of a power grid, and promotes the application of an energy storage technology in the aspects of peak regulation and frequency modulation of a power system and the consumption of renewable energy.
The invention provides a power grid side energy storage device capacity calculation method considering the power consumption cost of an energy storage device, which comprises the following steps of:
(1) the method for calculating the power consumption cost of the energy storage devices on the sides of the various types of power grids comprises the following specific steps,
(1-1) establishing a charge-discharge life model of an electrochemical energy storage device in the energy storage device: calculating the maximum discharge times of the electrochemical energy storage device when the discharge depth is d by using the following formula
Figure BDA0002476232250000021
Figure BDA0002476232250000022
Wherein d is the discharge depth of the electrochemical energy storage device, namely the ratio of the energy released by the electrochemical energy storage device to the total capacity, the value range of d is 0-1, the upper corner mark Max represents the maximum value, N is0Representing the charge and discharge times of the electrochemical energy storage device when the electrochemical energy storage device is fully charged, the upper corner mark k is the characteristic parameter of the electrochemical energy storage device, N0K is obtained from a delivery nameplate of the electrochemical energy storage device;
obtaining a charge-discharge life model of the electrochemical energy storage device in the energy storage device according to the parameters:
Figure BDA0002476232250000023
in the formula, g (n)dAnd d) is an electrochemical energy storage device in the ndRate of life loss of electrochemical energy storage device when depth of sub-discharge is d, rate of life loss of electrochemical energy storage device when depth of life is g (n)dAnd d) when the sum is 1, the electrochemical energy storage device fails;
(1-2) defining the charge and discharge life of a physical energy storage device in the energy storage device as the design service life during construction;
(1-3) calculating the electricity consumption cost c of the energy storage device according to the following formula:
Figure BDA0002476232250000024
wherein C is the cost of the energy storage devicesumThe total investment cost of the energy storage device in the whole life cycle consists of the construction, operation and recovery costs of the energy storage device, EsumThe total electric power to be processed for the whole life cycle of the energy storage device is determined by the design life and installed capacity of the energy storage device Csys-eFor the energy cost of the energy storage device, Cpcs-eFor the power conversion cost of the energy storage device, Cbop-eFor the civil engineering cost of the energy storage device, Com-eFor the operation and maintenance costs of the energy storage device, Cbth-eFor other costs of the energy storage device, the other costs include all costs of the energy storage device other than the 4 costs mentioned above, which are generated during construction and use, Crec-eThe cost is determined by accounting of an equipment provider and a construction unit for the recovery residual value of the energy storage device; DOD is the depth of discharge of the energy storage device, the value range of the DOD is 0-100 percent, BcycFor the charge-discharge cycle life of the energy storage device under the designed discharge depth, η is the energy efficiency of the energy storage device, η is the value range of 50% -95%, and is the capacity retention rate when the service life of the electrochemical energy storage device is ended, and ζ is the equivalent capacity retention rate of the energy storage device in each cycle;
when the energy storage device is a physical energy storage device, the equivalent capacity retention rate zeta of each cycle of the physical energy storage device is 1, and the charge-discharge cycle life B of the physical energy storage device at the designed discharge depth is calculated by using the following formulacyc：
BcycDesigned for useLifetime 365 per number of runs per day annual percentage of runs;
when the energy storage device is an electrochemical energy storage device, the equivalent capacity retention ratio ζ of the electrochemical energy storage device per cycle is:
Figure BDA0002476232250000031
in the above formula, the capacity retention ratio when the electrochemical energy storage device fails, BcycThe number of times of charging and discharging of the electrochemical energy storage device when the sum of the capacity loss rates of the electrochemical energy storage device defined in the step (1-1) is 1,
Figure BDA0002476232250000032
for electrochemical energy storage devices
Figure BDA0002476232250000033
The secondary charge-discharge cycle is repeated,
Figure BDA0002476232250000034
has a value between 0 and BcycTo (c) to (d);
(2) the method comprises the following steps of establishing a power grid side energy storage device capacity calculation model considering the power consumption cost of an energy storage device, and specifically:
(2-1) determining an objective function of the energy storage device capacity calculation model, wherein the objective function of the energy storage device capacity calculation model on the power grid side is the lowest total investment and operation cost of the power grid, and the method specifically comprises the following steps:
Figure BDA0002476232250000035
where the subscript y denotes year y, N, of grid operationYFor the total number of years of calculation, C, considered in the grid-side energy storage capacity calculation modeltotalIn order to annual the total cost of the power grid,
Figure BDA0002476232250000036
for annual total investment cost of the power grid in the y year,
Figure BDA0002476232250000037
for the annual operation cost of the power grid in the y year,
Figure BDA0002476232250000038
annual unit and line investment costs of the power grid in the y year are respectively;
(2-2) determining constraint conditions of the capacity planning of the energy storage device on the power grid side, including:
(2-2-1) the constraint conditions of the power grid side electrochemical energy storage device are as follows:
a. and (3) charge and discharge restraint of the electrochemical energy storage device:
Figure BDA0002476232250000041
in which the index t indicates the t-th instant,
Figure BDA0002476232250000042
representing the electrochemical energy storage device charging power at time t,
Figure BDA0002476232250000043
represents the discharge power, P, of the electrochemical energy storage device at time tCmaxAnd pDmaxRespectively representing the maximum charging power of the electrochemical energy storage device and the maximum discharging power of the electrochemical energy storage device,
Figure BDA0002476232250000044
for the state of charge of the electrochemical energy storage device at time t,
Figure BDA0002476232250000045
indicating that it is being charged,
Figure BDA0002476232250000046
indicating that there is no charging of the battery,
Figure BDA0002476232250000047
for the discharge state of the electrochemical energy storage device at time t,
Figure BDA0002476232250000048
indicating that it is being discharged and that it is,
Figure BDA0002476232250000049
indicating no discharge;
b. mutual exclusion constraint of the charge-discharge state of the electrochemical energy storage device:
Figure BDA00024762322500000410
c. electrochemical energy storage device SOC Capacity StAnd (3) constraint:
0≤St≤Smax
in the formula, SmaxRepresents the maximum charge capacity of the electrochemical energy storage device;
d. the electrochemical energy storage device SOC and the electrochemical energy storage device output association constraint:
Figure BDA00024762322500000411
in the formula, a is the self-discharge rate of the electrochemical energy storage device, eta is the energy efficiency of the electrochemical energy storage device, and the eta value range is 50-95%;
(2-2-2) the constraint conditions of the physical energy storage device on the power grid side are as follows:
Figure BDA00024762322500000412
in the formula, Pp，physicalAnd Pp，genCalculating the maximum energy storage and the maximum energy generation of a time interval for a physical energy storage unit consisting of one or more physical energy storage devices,
Figure BDA00024762322500000413
and
Figure BDA00024762322500000414
state variables for energy storage or power generation of the physical energy storage units at time t, ηpIn order to achieve the energy efficiency of the physical energy storage unit,ηpthe value range of (A) is 70% -90%;
(2-2-3) power grid investment budget constraint, which is specifically as follows:
Figure BDA00024762322500000415
in the formula, the first and second lines respectively restrict the construction investment of all the units and all the lines in the power grid not to exceed the investment budget of all the units and lines in the power grid, wherein
Figure BDA00024762322500000416
Respectively the investment budgets of all the units in the power grid and the investment budgets of all the lines in the power grid in the y year;
(2-2-4) power grid maximum installed capacity constraint, which comprises power grid thermal power machine assembling machine capacity constraint, power grid wind power machine installed capacity constraint, power grid photovoltaic machine installed capacity constraint and power grid energy storage machine installed capacity constraint, and specifically comprises the following formulas:
Figure BDA0002476232250000051
in the formula, the upper standard Lim represents an abbreviation of an upper Limit, G represents a thermal power generating unit in a power grid, W represents a wind power generating unit in the power grid, PV represents a photovoltaic unit in the power grid, B represents an energy storage unit in the power grid, the subscript G represents a thermal power generating unit No. G, W represents a wind power generating unit No. W, PV represents a photovoltaic unit No. PV, and B represents an energy storage unit No. B; the installed capacity constraint of the electric machine in the first behavior power grid in the formula, wherein
Figure BDA0002476232250000052
The installed capacity of the live motor g in the power grid in the y year,
Figure BDA0002476232250000053
the upper limit of the installed capacity of the wind generating set g in the power grid is defined as the second action of the installed capacity constraint of the wind generating set in the power grid, wherein
Figure BDA0002476232250000054
For the wind turbine generator set w installed capacity in the power grid of the y year,
Figure BDA0002476232250000055
the upper limit of the installed capacity of the wind turbine generator set w in the power grid is defined, and the third line is the capacity constraint of the photovoltaic generator assembly machine in the power grid, wherein
Figure BDA0002476232250000056
For the installed capacity of a photovoltaic unit pv in the power grid of the y year,
Figure BDA0002476232250000057
the upper limit of the installed capacity of a photovoltaic unit pv in the power grid and the fourth limit of the installed capacity of an energy storage device in the power grid, wherein
Figure BDA0002476232250000058
For the installed capacity of the energy storage device b in the power grid of the y year,
Figure BDA0002476232250000059
the upper limit of the installed capacity of the energy storage device b in the power grid is set;
(2-2-5) restraining the output permeability of the renewable energy sources of the power grid specifically as follows:
Figure BDA00024762322500000510
in the formula, the superscript Cur is an abbreviation of curl (cut), the subscript N is the nth node of the power grid, and the total number of the nodes is NN，ρsProbability of occurrence of typical grid scenario for setting operation parameter S, βRES，yFor a set permeability of renewable energy generation of the y-year grid, Dy，n，t，sThe power grid load forecasting demand is the power grid load forecasting demand under the operation scenes of the y-th year, the n-th node, the t moment and the s moment,
Figure BDA00024762322500000511
the load shedding requirements of the power grid under the operation scenes of the y-th year, the n-numbered nodes, the t moment and the s moment are met;
(2-2-6) power balance constraint of power grid nodes, wherein each node of the power grid needs to keep active power balance at each moment in each typical operation scene of each year, and the load shedding power is not greater than the load demand of the node, specifically as follows:
Figure BDA00024762322500000512
in the formula, the upper standard Sys is an abbreviation of System and represents a power grid, and Line represents a Line; the first row represents the active power balance constraints of the nodes of the grid, where
Figure BDA0002476232250000061
The output of all the units in the power grid under the scenes of the y year, the n node, the t moment and the s running,
Figure BDA0002476232250000062
the transmission power of the line in the power grid under the operation scenes of the year y, the node n, the time t and the operation s,
Figure BDA0002476232250000063
the load of the power grid in the y-th year, n-number node, t moment and s operation scene is measured; the second row represents a power grid load solution equation; the third row indicates that the grid load shedding power should not be greater than the load demand of the node;
output of all units of power grid and transmission power of line
Figure BDA0002476232250000064
The detailed development is as follows:
Figure BDA0002476232250000065
in the formula, the superscript L represents the line in the power grid, dis represents the discharge state, cha represents the charge/energy storage state, and the subscript L represents the No. L line, wherein
Figure BDA0002476232250000066
The representation is located at the n-th numberThe power grid thermal power generating unit combination of the nodes,
Figure BDA0002476232250000067
for the grid wind turbine combination located at node n,
Figure BDA0002476232250000068
the photovoltaic unit combination of the power grid is positioned at the nth node,
Figure BDA0002476232250000069
for the grid energy storage device combination located at node n,
Figure BDA00024762322500000610
respectively representing a transmission line set starting from and ending at the nth node;
Figure BDA00024762322500000611
the line transmission power under the operation scenes of the year y, the node n, the time t and the s is shown,
Figure BDA00024762322500000612
the sum of the power output by all the transmission lines starting from the nth node under the operation scenes of the y year, the t moment and the s,
Figure BDA00024762322500000613
the sum of the received power of all the power transmission lines which are finally at the nth node under the operation scenes of the y year, the t moment and the s moment;
(2-2-7) power grid transmission line capacity constraint, which comprises the following specific steps:
Figure BDA00024762322500000614
in the formula (I), the compound is shown in the specification,
Figure BDA00024762322500000615
for the maximum transmission power of the transmission line # l in the power grid,
Figure BDA00024762322500000616
for the transmission power of the No. l transmission line in the y-th year, t moment and s operation scene, the constraint of the transmission network is that the power flow on the line cannot exceed the transmission power of the line;
(2-2-8) operation constraint of the power grid thermal power generating unit, which comprises the following specific steps:
Figure BDA00024762322500000617
the above formula constrains the output of a single thermal power generating unit in the power grid, wherein,
Figure BDA00024762322500000618
the installed capacity of the No. g thermal power generating unit in the power grid of the y year,
Figure BDA00024762322500000619
the output of a single thermal power generating unit does not exceed the installed capacity of the unit for the transmission power of the No. g unit in the power grid under the operation scenes of the year y, the moment t and the time s;
Figure BDA00024762322500000620
the above formula restricts the starting capacity of the thermal power generating unit in the power grid, wherein, the subscript i represents the power grid thermal power generating unit of the ith class,
Figure BDA0002476232250000071
for the thermal power generating unit set belonging to the i-th class,
Figure BDA0002476232250000072
the online capacity of the i-th type thermal power generating unit in the y-th year, t moment and s operation scene is represented, and the starting capacity of the thermal power generating unit in the power grid should not be larger than the installed capacity of the thermal power generating unit and not smaller than the generated output of the thermal power generating unit at the moment;
Figure BDA0002476232250000073
the above formula constrains the minimum output of the clustering unit represented by the power grid thermal power generating unit of the ith class, wherein,
Figure BDA0002476232250000074
the minimum output rate of the thermal power generating unit of the ith type power grid is obtained,
Figure BDA0002476232250000075
the value range of (1) is 0-1;
Figure BDA0002476232250000076
the upper formula restrains the climbing capacity and the descending capacity of a thermoelectric generator set in the power grid, the upper mark DN represents descending climbing, and the UP represents ascending climbing, wherein
Figure BDA0002476232250000077
Respectively representing the downward-regulating climbing capacity and the upward-regulating climbing capacity of a fire-electric generating set in the power grid;
Figure BDA0002476232250000078
the above formula gives the relation among the on-line capacity, the startup capacity and the shutdown capacity of the i-th type unit, in the formula,
Figure BDA0002476232250000079
showing the online capacity of the i-th class of thermoelectric generation set in the y-th year, t-1 moment and s operation scene,
Figure BDA00024762322500000710
Figure BDA00024762322500000711
respectively the starting capacity and the shutdown capacity of the class i fire-electric generating set in the power grid under the operation scenes of the year y, the time t and the time s,
Figure BDA00024762322500000712
the first line of the above formula constrains the minimum startup time of the ith type unit, the second line constrains the minimum shutdown time of the ith type unit, in the formula,
Figure BDA00024762322500000713
respectively the minimum starting time and the minimum stopping time of the i-th class of thermoelectric generator set;
(2-2-9) operation constraint of the power grid wind turbine generator, which specifically comprises the following steps:
Figure BDA00024762322500000714
the above formula constrains that the output of any wind power plant in the power grid must not exceed the predicted wind power output value at that moment of the scene, in the formula,
Figure BDA00024762322500000715
the method comprises the steps that a wind power plant normalized predicted power value of a No. w wind turbine generator in the y-th year, t-time and s-operation scene is obtained, and the predicted wind power output value and the wind power plant normalized predicted power value are obtained from historical data of power grid dispatching respectively;
(2-2-10) operation constraint of the grid photovoltaic unit, which comprises the following specific steps:
Figure BDA00024762322500000716
in the formula (I), the compound is shown in the specification,
Figure BDA0002476232250000081
normalizing the predicted power value for the photovoltaic power station of the pv photovoltaic unit under the y-year, t-time and s-operation scene, wherein the formula restricts that the output of any one photovoltaic power station and one photovoltaic power station in the power grid cannot exceed the predicted photovoltaic output value at the moment of the scene;
(2-2-11) power grid standby constraint, which comprises the following specific steps:
Figure BDA0002476232250000082
in the formula (I), the compound is shown in the specification,
Figure BDA0002476232250000083
load shedding power r of the nth node of the power grid under the operation scene of s at the time tLoad、rRESRespectively representing a power grid load prediction error and a wind power photovoltaic unit output prediction error, wherein the above formula ensures that the power generation capacity of the power grid can still meet the maximum load requirement of the power grid under the most unfavorable prediction error;
(2-3) obtaining a power grid side energy storage device capacity calculation model considering the electricity consumption cost of the energy storage device and taking the lowest power grid investment operation cost as a target according to the optimization planning objective function, the power grid operation constraint and the investment operation cost in the step (2-1) and the step (2-2);
(3) and (3) acquiring parameters of the electrochemical energy storage device and the physical energy storage device from a delivery nameplate of the electrochemical energy storage device, solving the power grid side energy storage device capacity calculation model in the step (2) by using a CPLEX mixed integer linear programming method to obtain the power grid side energy storage device capacity, and realizing the calculation of the power grid side energy storage device capacity considering the power consumption cost of the energy storage device.
The invention provides a power grid side energy storage device capacity calculation method considering the power consumption cost of an energy storage device, which has the advantages that:
the power grid side energy storage capacity planning method considering the energy storage and power consumption cost overcomes the defect that the existing power grid energy storage planning method only faces to a single application scene and cannot cope with multiple application scenes, so that the evaluation of the overall energy storage requirement of system operation under multiple application scenes becomes possible, the overall requirement boundary of energy storage can be determined, and the renewable energy and energy storage combined planning is realized to promote the renewable energy consumption.
The power grid side energy storage planning method and the operation model considering the electricity consumption cost have certain universality, can be embedded into an optimization planning model of a high-proportion renewable energy power system to realize rapid solution, can realize the estimation of the investment and operation cost of the power system containing the energy storage by introducing the electricity consumption cost, are applied to the research on aspects such as economic dispatching, source grid storage optimization planning and the like, can realize the efficient utilization of the energy storage technology in the power system by reasonably planning the energy storage capacity and taking the total investment and the operation cost of the system as the lowest target, promote the consumption of renewable energy, optimize the peak-load and frequency modulation capacity of the power system, accurately guide the investment of the power system and realize the full utilization of the existing resources.
Detailed Description
The invention provides a power grid side energy storage device capacity calculation method considering the power consumption cost of an energy storage device, which comprises the following steps of:
(1) the method for calculating the power consumption cost of the energy storage devices on the sides of the various types of power grids comprises the following specific steps,
(1-1) establishing a charge-discharge life model of an electrochemical energy storage device in the energy storage device: considering the cycle life of the energy storage device determined by the depth of discharge (DOD) of the battery, the maximum number of times of discharge of the electrochemical energy storage device is calculated by the following formula when the depth of discharge is d
Figure BDA0002476232250000091
Figure BDA0002476232250000092
Wherein d is the discharge depth of the electrochemical energy storage device, namely the ratio of the energy released by the electrochemical energy storage device to the total capacity, the value range of d is 0-1, the upper corner mark Max represents the maximum value, N is0Representing the charge and discharge times of the electrochemical energy storage device when the electrochemical energy storage device is fully charged, the upper corner mark k is the characteristic parameter of the electrochemical energy storage device, N0K is obtained from a delivery nameplate of the electrochemical energy storage device;
obtaining a charge-discharge life model of the electrochemical energy storage device in the energy storage device according to the parameters:
Figure BDA0002476232250000093
in the formula, g (n)dAnd d) is an electrochemical energy storage device in the ndRate of life loss of electrochemical energy storage device when depth of sub-discharge is d, rate of life loss of electrochemical energy storage device when depth of life is g (n)dAnd d) when the sum is 1, the electrochemical energy storage device fails;
(1-2) defining that the capacity loss of a physical energy storage device in the energy storage device caused by the use process is very small and can be ignored, and the charge and discharge life of the physical energy storage device is the design service life during construction;
(1-3) calculating the electricity consumption cost c of the energy storage device according to the following formula:
Figure BDA0002476232250000094
wherein C is the cost of the energy storage devicesumThe total investment cost of the energy storage device in the whole life cycle consists of the construction, operation and recovery costs of the energy storage device, EsumThe total electric power to be processed for the whole life cycle of the energy storage device is determined by the design life and installed capacity of the energy storage device Csys-eFor the energy cost of the energy storage device, Cpcs-eFor the power conversion cost of the energy storage device, Cbop-eFor the civil engineering cost of the energy storage device, Com-eFor the operation and maintenance costs of the energy storage device, Coth-eFor other costs of the energy storage device, the other costs include all costs of the energy storage device, such as personnel expenses and the like, except the 4 costs generated during the construction and use of the energy storage device, Crec-eThe cost is determined by accounting of an equipment provider and a construction unit for the recovery residual value of the energy storage device; DOD (depth of discharge) is the depth of discharge of the energy storage device, the value range of the DOD is 0-100%, and the DOD is determined according to the use scene planning of the energy storage device, BcycFor the charge-discharge cycle life (times) of the energy storage device under the designed discharge depth, η is the energy efficiency (%) of the energy storage device, which is determined by the physical characteristics of the medium of the energy storage device, the value range of η is 50% -95%, the value range is the capacity retention rate when the service life of the electrochemical energy storage device is terminated, and zeta is the equivalent capacity retention rate (%) of each cycle of the energy storage device;
when the energy storage device is a physical energy storage device, the physical energy storage device is used along with the use processThe capacity loss caused by the method is very small, so that the equivalent capacity retention rate zeta of each cycle of the physical energy storage device is set to be 1, and the charge-discharge cycle life Bc of the physical energy storage device at the designed discharge depth is calculated by using the following formulayc：
BcycDesign life (year) 365 operation times per day (times) year operation proportion (%);
when the energy storage device is an electrochemical energy storage device, the equivalent capacity retention ratio ζ of the electrochemical energy storage device per cycle is:
Figure BDA0002476232250000101
in the above formula, the capacity retention rate when the electrochemical energy storage device fails is expressed in (%), BcycThe number of times of charging and discharging of the electrochemical energy storage device when the sum of the capacity loss rates of the electrochemical energy storage device defined in the step (1-1) is 1
Figure BDA0002476232250000102
For electrochemical energy storage devices
Figure BDA0002476232250000103
The secondary charge-discharge cycle is repeated,
Figure BDA0002476232250000104
has a value between 0 and BcycTo (c) to (d);
(2) comprehensively considering an optimization planning objective function, constraint conditions and operation cost, and establishing a power grid side energy storage device capacity calculation model considering the power consumption cost of an energy storage device, the specific steps are as follows:
(2-1) determining an objective function of the energy storage device capacity calculation model, wherein the objective function of the energy storage device capacity calculation model on the power grid side is the lowest total investment and operation cost of the power grid, and the method specifically comprises the following steps:
Figure BDA0002476232250000105
in which the subscript y denotes the operation of the gridYear y, NYFor the total number of years of calculation, C, considered in the grid-side energy storage capacity calculation modeltotalFor annual total cost (ten thousand yuan/year) of the power grid,
Figure BDA0002476232250000106
annual total investment cost (ten thousand yuan/year) of the power grid in the y year,
Figure BDA0002476232250000107
annual operation cost (ten thousand yuan/year) of the power grid in the y year;
Figure BDA0002476232250000108
annual unit and line investment costs (ten thousand yuan/year) of the power grid in the y year respectively;
(2-2) determining constraint conditions of the capacity planning of the energy storage device on the power grid side, including:
(2-2-1) the constraint conditions of the power grid side electrochemical energy storage device are as follows: modeling needs to satisfy energy storage device charge-discharge power constraints, energy storage device charge-discharge state constraints, energy storage device SOC (charge capacity) constraints, and energy storage device SOC (charge state) and energy storage device output association constraints.
a. And (3) charge and discharge restraint of the electrochemical energy storage device:
Figure BDA0002476232250000111
in which the index t indicates the t-th instant,
Figure BDA0002476232250000112
representing the electrochemical energy storage device charging power at time t,
Figure BDA0002476232250000113
represents the discharge power, P, of the electrochemical energy storage device at time tCmaxAnd pDmaxRespectively representing the maximum charging power of the electrochemical energy storage device and the maximum discharging power of the electrochemical energy storage device,
Figure BDA0002476232250000114
for the state of charge of the electrochemical energy storage device at time t,
Figure BDA0002476232250000115
indicating that it is being charged,
Figure BDA0002476232250000116
indicating that there is no charging of the battery,
Figure BDA0002476232250000117
for the discharge state of the electrochemical energy storage device at time t,
Figure BDA0002476232250000118
indicating that it is being discharged and that it is,
Figure BDA0002476232250000119
indicating no discharge;
b. mutual exclusion constraint of the charge-discharge state of the electrochemical energy storage device:
Figure BDA00024762322500001110
c. SOC (State of Charge) capacity S of electrochemical energy storage devicetAnd (3) constraint:
0≤St≤Smax
in the formula, SmaxRepresents the maximum charge capacity of the electrochemical energy storage device;
d. the electrochemical energy storage device SOC and the electrochemical energy storage device output association constraint:
Figure BDA00024762322500001111
in the formula, a is the self-discharge rate (determined by energy storage materials and in the unit of%,) eta of the electrochemical energy storage device is the energy efficiency of the electrochemical energy storage device, and the eta value range is 50% -95%;
(2-2-2) the constraint conditions of the physical energy storage device on the power grid side are as follows: modeling needs to meet the upper and lower output limit constraints of the physical energy storage device, the mutual exclusion constraints of energy storage and power generation states and the balance constraints of daily energy storage and power generation;
Figure BDA00024762322500001112
in the formula, Pp，physicalAnd Pp，genCalculating the maximum energy storage and the maximum energy generation of a time interval for a physical energy storage unit consisting of one or more physical energy storage devices,
Figure BDA00024762322500001117
and
Figure BDA00024762322500001114
state variables for energy storage or power generation of the physical energy storage units at time t, ηpFor the energy efficiency of the physical energy storage unit, ηpThe value range of (A) is 70% -90%;
(2-2-3) power grid investment budget constraint, which is specifically as follows:
Figure BDA00024762322500001115
in the formula, the first and second lines respectively restrict the construction investment of all the units and all the lines in the power grid not to exceed the investment budget of all the units and lines in the power grid, wherein
Figure BDA00024762322500001116
Respectively the investment budgets of all the units in the power grid and the investment budgets of all the lines in the power grid in the y year;
(2-2-4) power grid maximum installed capacity constraint, which comprises power grid thermal power machine assembling machine capacity constraint, power grid wind power machine installed capacity constraint, power grid photovoltaic machine installed capacity constraint and power grid energy storage machine installed capacity constraint, and specifically comprises the following formulas:
Figure BDA0002476232250000121
in the formula, the upper Limit of Lim represents the abbreviation of the upper Limit of LimitG represents a thermal power generating unit in a power grid, W represents a wind power generating unit in the power grid, PV represents a photovoltaic unit in the power grid, B represents an energy storage unit in the power grid, subscript G represents a thermal power generating unit No. G, W represents a wind power generating unit No. W, PV represents a photovoltaic unit No. PV, and B represents an energy storage unit No. B; the installed capacity constraint of the electric machine in the first behavior power grid in the formula, wherein
Figure BDA0002476232250000122
The installed capacity (MW) of the live motor g in the power grid in the y year,
Figure BDA0002476232250000123
the upper limit (MW) of the installed capacity of the wind generating set g in the power grid is defined as the second action of the installed capacity constraint of the wind generating set in the power grid, wherein
Figure BDA0002476232250000124
For the wind generating set w installed capacity (MW) in the power grid of the y year,
Figure BDA0002476232250000125
the upper limit (MW) of the installed capacity of the wind turbine generator set w in the power grid is defined, and the third line is the capacity constraint of the photovoltaic generator set in the power grid, wherein
Figure BDA0002476232250000126
The installed capacity (MW) of a photovoltaic unit pv in the power grid in the y year,
Figure BDA0002476232250000127
the installed capacity upper limit (MW) of a photovoltaic unit pv in the power grid and the fourth line is the installed capacity limit of an energy storage device in the power grid, wherein
Figure BDA0002476232250000128
The installed capacity (MW) of an energy storage device b in the power grid in the y year,
Figure BDA0002476232250000129
the installed capacity upper limit (MW) of an energy storage device b in the power grid;
(2-2-5) restraining the output permeability of the renewable energy sources of the power grid specifically as follows:
Figure BDA00024762322500001210
in the formula, the superscript Cur is an abbreviation of curl (cut), the subscript N is the nth node of the power grid, and the total number of the nodes is NN，ρsProbability of occurrence of typical grid scenario for setting operation parameter S, βRES，yFor a set permeability of renewable energy generation of the y-year grid, Dy，n，t，sThe power grid load forecasting demand is the power grid load forecasting demand under the operation scenes of the y-th year, the n-th node, the t moment and the s moment,
Figure BDA00024762322500001211
the load shedding requirements of the power grid under the operation scenes of the y-th year, the n-numbered nodes, the t moment and the s moment are met;
(2-2-6) power balance constraint of power grid nodes, wherein each node of the power grid needs to keep active power balance at each moment in each typical operation scene of each year, and the load shedding power is not greater than the load demand of the node, specifically as follows:
Figure BDA00024762322500001212
in the formula, Sys is an abbreviation of System (power grid), and Line represents a Line; the first row represents the active power balance constraints of the nodes of the grid, where
Figure BDA0002476232250000131
The output (MW) of all the units in the power grid under the scenes of the y year, the n node, the t moment and the s operation,
Figure BDA0002476232250000132
the transmission power (MW) of the line in the power grid under the operation scenes of the year y, the node n, the time t and the operation s,
Figure BDA0002476232250000133
the load of the power grid under the scenes of the y year, the n node, the t moment and the s operation (MW); the second row represents a power grid load solution equation; the third row indicates that the grid load shedding power should not be greater than the load demand of the node;
output of all units of power grid and transmission power of line
Figure BDA0002476232250000134
The detailed development is as follows:
Figure BDA0002476232250000135
in the formula, the superscript L represents the line in the power grid, dis represents the discharge state, cha represents the charge/energy storage state, and the subscript L represents the No. L line, wherein
Figure BDA0002476232250000136
The power grid thermal power generating unit combination located at the n-th node is shown,
Figure BDA0002476232250000137
for the grid wind turbine combination located at node n,
Figure BDA0002476232250000138
the photovoltaic unit combination of the power grid is positioned at the nth node,
Figure BDA0002476232250000139
for the grid energy storage device combination located at node n,
Figure BDA00024762322500001310
respectively representing a transmission line set starting from and ending at the nth node;
Figure BDA00024762322500001311
the line transmission power under the operation scenes of the year y, the node n, the time t and the s is shown,
Figure BDA00024762322500001312
all the transmission lines starting from the nth node are positioned under the operation scenes of the y-th year, the t-th moment and the s-th momentThe sum of the output powers is then calculated,
Figure BDA00024762322500001313
the sum of the received power of all the power transmission lines which are finally at the nth node under the operation scenes of the y year, the t moment and the s moment;
(2-2-7) power grid transmission line capacity constraint, which comprises the following specific steps:
Figure BDA00024762322500001314
in the formula (I), the compound is shown in the specification,
Figure BDA00024762322500001315
the maximum transmission power (MW) of the No. l power transmission line in the power grid,
Figure BDA00024762322500001316
for the transmission power (MW) of the No. l transmission line in the y-th year, t moment and s operation scene, the constraint of the transmission network is that the power flow on the line can not exceed the transmission power of the line;
(2-2-8) operation constraint of the power grid thermal power generating unit, which comprises the following specific steps:
Figure BDA00024762322500001317
the above formula constrains the output of a single thermal power generating unit in the power grid, wherein,
Figure BDA00024762322500001318
the installed capacity (MW) of the No. g thermal power generating unit in the power grid of the y year,
Figure BDA00024762322500001319
the output of a single thermal power generating unit cannot exceed the installed capacity of the unit for the transmission power (MW) of the No. g unit in the power grid under the operation scenes of the year y, the moment t and the time s;
Figure BDA00024762322500001320
the above formula restricts the starting capacity of the thermal power generating unit in the power grid, wherein, the subscript i represents the power grid thermal power generating unit of the ith class,
Figure BDA0002476232250000141
for the thermal power generating unit set belonging to the i-th class,
Figure BDA0002476232250000142
representing the online capacity (MW) of the i-th type thermal power unit in the y-th year, t moment and s operation scene, wherein the starting capacity of the thermal power unit in the power grid is not more than the installed capacity of the thermal power unit and not less than the generated output of the thermal power unit at the moment;
Figure BDA0002476232250000143
the above formula constrains the minimum output of the clustering unit represented by the power grid thermal power generating unit of the ith class, wherein,
Figure BDA0002476232250000144
the minimum output rate of the thermal power generating unit of the ith type power grid is obtained,
Figure BDA0002476232250000145
the value range of (1) is 0-1;
Figure BDA0002476232250000146
the upper formula restrains the climbing capacity and the descending capacity of a fire-electric generating set in the power grid, the upper mark DN represents Down, UP represents Up, wherein
Figure BDA0002476232250000147
Respectively representing the downward-regulating climbing capacity and the upward-regulating climbing capacity of a fire-electric generating set in the power grid;
Figure BDA0002476232250000148
the above formula gives the relation among the on-line capacity, the startup capacity and the shutdown capacity of the i-th type unit, in the formula,
Figure BDA0002476232250000149
the online capacity (MW) of the i-th class of thermoelectric generation set under the operation scene of the y-th year, the t-1 moment and the s-th time is represented,
Figure BDA00024762322500001410
Figure BDA00024762322500001411
respectively is the starting-up capacity and the shutdown capacity (MW) of the i-th class of fire-electric generating set in the power grid under the operation scenes of the y-th year, the t-th moment and the s-th moment,
Figure BDA00024762322500001412
the first line of the above formula constrains the minimum startup time of the ith type unit, the second line constrains the minimum shutdown time of the ith type unit, in the formula,
Figure BDA00024762322500001413
respectively the minimum starting time and the minimum stopping time (hours) of the i-th class of thermal power units;
(2-2-9) operation constraint of the power grid wind turbine generator, which specifically comprises the following steps:
Figure BDA00024762322500001414
the above formula constrains that the output of any wind power plant in the power grid must not exceed the predicted wind power output value at that moment of the scene, in the formula,
Figure BDA00024762322500001415
the method comprises the steps that a wind power plant normalized predicted power value of a No. w wind turbine generator in the y-th year, t-time and s-operation scene is obtained, and the predicted wind power output value and the wind power plant normalized predicted power value are obtained from historical data of power grid dispatching respectively;
(2-2-10) operation constraint of the grid photovoltaic unit, which comprises the following specific steps:
Figure BDA0002476232250000151
in the formula (I), the compound is shown in the specification,
Figure BDA0002476232250000152
normalizing the predicted power value for the photovoltaic power station of the pv photovoltaic unit under the y-year, t-time and s-operation scene, wherein the formula restricts that the output of any one photovoltaic power station and one photovoltaic power station in the power grid cannot exceed the predicted photovoltaic output value at the moment of the scene;
(2-2-11) power grid standby constraint, which comprises the following specific steps:
Figure BDA0002476232250000153
in the formula (I), the compound is shown in the specification,
Figure BDA0002476232250000154
load shedding power (MW), r, of the nth node of the power grid under the operation scene of s at the time tLoad、rRESRespectively representing a power grid load prediction error and a wind power photovoltaic unit output prediction error, wherein the above formula ensures that the power generation capacity of the power grid can still meet the maximum load requirement of the power grid under the most unfavorable prediction error;
(2-3) obtaining a power grid side energy storage device capacity calculation model considering the electricity consumption cost of the energy storage device and taking the lowest power grid investment operation cost as a target according to the optimization planning objective function, the power grid operation constraint and the investment operation cost in the step (2-1) and the step (2-2);
(3) and (3) acquiring parameters of the electrochemical energy storage device and the physical energy storage device from a delivery nameplate of the electrochemical energy storage device, solving the power grid side energy storage device capacity calculation model in the step (2) by using a CPLEX mixed integer linear programming method to obtain the power grid side energy storage device capacity, and realizing the calculation of the power grid side energy storage device capacity considering the power consumption cost of the energy storage device.

Claims (1)

1. A power grid side energy storage device capacity calculation method considering the electricity consumption cost of an energy storage device is characterized by comprising the following steps:
(1) the method for calculating the power consumption cost of the energy storage devices on the sides of the various types of power grids comprises the following specific steps,
(1-1) establishing a charge-discharge life model of an electrochemical energy storage device in the energy storage device: calculating the maximum discharge times of the electrochemical energy storage device when the discharge depth is d by using the following formula
Figure FDA0002476232240000011
Figure FDA0002476232240000012
Wherein d is the discharge depth of the electrochemical energy storage device, namely the ratio of the energy released by the electrochemical energy storage device to the total capacity, the value range of d is 0-1, the upper corner mark Max represents the maximum value, N is0Representing the charge and discharge times of the electrochemical energy storage device when the electrochemical energy storage device is fully charged, the upper corner mark k is the characteristic parameter of the electrochemical energy storage device, N0K is obtained from a delivery nameplate of the electrochemical energy storage device;
obtaining a charge-discharge life model of the electrochemical energy storage device in the energy storage device according to the parameters:
Figure FDA0002476232240000013
in the formula, g (n)dAnd d) is an electrochemical energy storage device in the ndRate of life loss of electrochemical energy storage device when depth of sub-discharge is d, rate of life loss of electrochemical energy storage device when depth of life is g (n)dAnd d) when the sum is 1, the electrochemical energy storage device fails;
(1-2) defining the charge and discharge life of a physical energy storage device in the energy storage device as the design service life during construction;
(1-3) calculating the electricity consumption cost c of the energy storage device according to the following formula:
Figure FDA0002476232240000014
wherein C is the cost of the energy storage devicesumThe total investment cost of the energy storage device in the whole life cycle consists of the construction, operation and recovery costs of the energy storage device, EsumThe total electric power to be processed for the whole life cycle of the energy storage device is determined by the design life and installed capacity of the energy storage device Csys-eFor the energy cost of the energy storage device, Cpcs-eFor the power conversion cost of the energy storage device, Cbop-eFor the civil engineering cost of the energy storage device, Com-eFor the operation and maintenance costs of the energy storage device, Coth-eFor other costs of the energy storage device, the other costs include all costs of the energy storage device other than the 4 costs mentioned above, which are generated during construction and use, Crec-eThe cost is determined by accounting of an equipment provider and a construction unit for the recovery residual value of the energy storage device; DOD is the depth of discharge of the energy storage device, the value range of the DOD is 0-100 percent, BcycFor the charge-discharge cycle life of the energy storage device under the designed discharge depth, η is the energy efficiency of the energy storage device, η is the value range of 50% -95%, and is the capacity retention rate when the service life of the electrochemical energy storage device is ended, and ζ is the equivalent capacity retention rate of the energy storage device in each cycle;
when the energy storage device is a physical energy storage device, the equivalent capacity retention rate zeta of each cycle of the physical energy storage device is 1, and the charge-discharge cycle life B of the physical energy storage device at the designed discharge depth is calculated by using the following formulacyc：
BcycDesign life 365 annual running proportion of number of runs per day;
when the energy storage device is an electrochemical energy storage device, the equivalent capacity retention ratio ζ of the electrochemical energy storage device per cycle is:
Figure FDA0002476232240000021
in the above formula, the capacity retention ratio when the electrochemical energy storage device fails, BcycIs defined as in step (1-1)The sum of the capacity loss rates of the electrochemical energy storage device is 1,
Figure FDA0002476232240000022
for electrochemical energy storage devices
Figure FDA0002476232240000023
The secondary charge-discharge cycle is repeated,
Figure FDA0002476232240000024
has a value between 0 and BcycTo (c) to (d);
(2) the method comprises the following steps of establishing a power grid side energy storage device capacity calculation model considering the power consumption cost of an energy storage device, and specifically:
(2-1) determining an objective function of the energy storage device capacity calculation model, wherein the objective function of the energy storage device capacity calculation model on the power grid side is the lowest total investment and operation cost of the power grid, and the method specifically comprises the following steps:
Figure FDA0002476232240000025
where the subscript y denotes year y, N, of grid operationYFor the total number of years of calculation, C, considered in the grid-side energy storage capacity calculation modeltotalIn order to annual the total cost of the power grid,
Figure FDA0002476232240000026
for annual total investment cost of the power grid in the y year,
Figure FDA0002476232240000027
for the annual operation cost of the power grid in the y year,
Figure FDA0002476232240000028
annual unit and line investment costs of the power grid in the y year are respectively;
(2-2) determining constraint conditions of the capacity planning of the energy storage device on the power grid side, including:
(2-2-1) the constraint conditions of the power grid side electrochemical energy storage device are as follows:
a. and (3) charge and discharge restraint of the electrochemical energy storage device:
Figure FDA0002476232240000029
in which the index t indicates the t-th instant,
Figure FDA00024762322400000210
representing the electrochemical energy storage device charging power at time t,
Figure FDA00024762322400000211
represents the discharge power, p, of the electrochemical energy storage device at time tCmaxAnd PDmaxRespectively representing the maximum charging power of the electrochemical energy storage device and the maximum discharging power of the electrochemical energy storage device,
Figure FDA00024762322400000212
for the state of charge of the electrochemical energy storage device at time t,
Figure FDA00024762322400000213
indicating that it is being charged,
Figure FDA00024762322400000214
indicating that there is no charging of the battery,
Figure FDA00024762322400000215
for the discharge state of the electrochemical energy storage device at time t,
Figure FDA00024762322400000216
indicating that it is being discharged and that it is,
Figure FDA00024762322400000217
indicating no discharge;
b. mutual exclusion constraint of the charge-discharge state of the electrochemical energy storage device:
Figure FDA00024762322400000218
c. electrochemical energy storage device SOC Capacity StAnd (3) constraint:
0≤St≤Smax
in the formula, SmaxRepresents the maximum charge capacity of the electrochemical energy storage device;
d. the electrochemical energy storage device SOC and the electrochemical energy storage device output association constraint:
Figure FDA0002476232240000031
in the formula, a is the self-discharge rate of the electrochemical energy storage device, eta is the energy efficiency of the electrochemical energy storage device, and the eta value range is 50-95%;
(2-2-2) the constraint conditions of the physical energy storage device on the power grid side are as follows:
Figure FDA0002476232240000032
in the formula, Pp，physicalAnd Pp，genCalculating the maximum energy storage and the maximum energy generation of a time interval for a physical energy storage unit consisting of one or more physical energy storage devices,
Figure FDA0002476232240000033
and
Figure FDA0002476232240000034
state variables for energy storage or power generation of the physical energy storage units at time t, ηpFor the energy efficiency of the physical energy storage unit, ηpThe value range of (A) is 70% -90%;
(2-2-3) power grid investment budget constraint, which is specifically as follows:
Figure FDA0002476232240000035
in the formula, the first and second lines respectively restrict the construction investment of all the units and all the lines in the power grid not to exceed the investment budget of all the units and lines in the power grid, wherein
Figure FDA0002476232240000036
Respectively the investment budgets of all the units in the power grid and the investment budgets of all the lines in the power grid in the y year;
(2-2-4) power grid maximum installed capacity constraint, which comprises power grid thermal power machine assembling machine capacity constraint, power grid wind power machine installed capacity constraint, power grid photovoltaic machine installed capacity constraint and power grid energy storage machine installed capacity constraint, and specifically comprises the following formulas:
Figure FDA0002476232240000037
in the formula, the upper standard Lim represents an abbreviation of an upper Limit, G represents a thermal power generating unit in a power grid, W represents a wind power generating unit in the power grid, PV represents a photovoltaic unit in the power grid, B represents an energy storage unit in the power grid, the subscript G represents a thermal power generating unit No. G, W represents a wind power generating unit No. W, PV represents a photovoltaic unit No. PV, and B represents an energy storage unit No. B; the installed capacity constraint of the electric machine in the first behavior power grid in the formula, wherein
Figure FDA0002476232240000038
The installed capacity of the live motor g in the power grid in the y year,
Figure FDA0002476232240000041
the upper limit of the installed capacity of the wind generating set g in the power grid is defined as the second action of the installed capacity constraint of the wind generating set in the power grid, wherein
Figure FDA0002476232240000042
For the wind turbine generator set w installed capacity in the power grid of the y year,
Figure FDA0002476232240000043
the upper limit of the installed capacity of the wind turbine generator set w in the power grid is defined, and the third line is the capacity constraint of the photovoltaic generator assembly machine in the power grid, wherein
Figure FDA0002476232240000044
For the installed capacity of a photovoltaic unit pv in the power grid of the y year,
Figure FDA0002476232240000045
the upper limit of the installed capacity of a photovoltaic unit pv in the power grid and the fourth limit of the installed capacity of an energy storage device in the power grid, wherein
Figure FDA0002476232240000046
For the installed capacity of the energy storage device b in the power grid of the y year,
Figure FDA0002476232240000047
the upper limit of the installed capacity of the energy storage device b in the power grid is set;
(2-2-5) restraining the output permeability of the renewable energy sources of the power grid specifically as follows:
Figure FDA0002476232240000048
in the formula, the superscript Cur is an abbreviation of curl (cut), the subscript N is the nth node of the power grid, and the total number of the nodes is NN，ρsProbability of occurrence of typical grid scenario for setting operation parameter S, βRES，yFor a set permeability of renewable energy generation of the y-year grid, Dy，n，t，sThe power grid load forecasting demand is the power grid load forecasting demand under the operation scenes of the y-th year, the n-th node, the t moment and the s moment,
Figure FDA0002476232240000049
the load shedding requirements of the power grid under the operation scenes of the y-th year, the n-numbered nodes, the t moment and the s moment are met;
(2-2-6) power balance constraint of power grid nodes, wherein each node of the power grid needs to keep active power balance at each moment in each typical operation scene of each year, and the load shedding power is not greater than the load demand of the node, specifically as follows:
Figure FDA00024762322400000410
in the formula, the upper standard Sys is an abbreviation of System and represents a power grid, and Line represents a Line; the first row represents the active power balance constraints of the nodes of the grid, where
Figure FDA00024762322400000411
The output of all the units in the power grid under the scenes of the y year, the n node, the t moment and the s running,
Figure FDA00024762322400000412
the transmission power of the line in the power grid under the operation scenes of the year y, the node n, the time t and the operation s,
Figure FDA00024762322400000413
the load of the power grid in the y-th year, n-number node, t moment and s operation scene is measured; the second row represents a power grid load solution equation; the third row indicates that the grid load shedding power should not be greater than the load demand of the node;
output of all units of power grid and transmission power of line
Figure FDA00024762322400000414
The detailed development is as follows:
Figure FDA00024762322400000415
in the formula, the superscript L represents the line in the power grid, dis represents the discharge state, cha represents the charge/energy storage state, and the subscript L represents the No. L line, wherein
Figure FDA0002476232240000051
The power grid thermal power generating unit combination located at the n-th node is shown,
Figure FDA0002476232240000052
for the grid wind turbine combination located at node n,
Figure FDA0002476232240000053
the photovoltaic unit combination of the power grid is positioned at the nth node,
Figure FDA0002476232240000054
for the grid energy storage device combination located at node n,
Figure FDA0002476232240000055
respectively representing a transmission line set starting from and ending at the nth node;
Figure FDA0002476232240000056
the line transmission power under the operation scenes of the year y, the node n, the time t and the s is shown,
Figure FDA0002476232240000057
the sum of the power output by all the transmission lines starting from the nth node under the operation scenes of the y year, the t moment and the s,
Figure FDA0002476232240000058
the sum of the received power of all the power transmission lines which are finally at the nth node under the operation scenes of the y year, the t moment and the s moment;
(2-2-7) power grid transmission line capacity constraint, which comprises the following specific steps:
Figure FDA0002476232240000059
in the formula (I), the compound is shown in the specification,
Figure FDA00024762322400000510
for the maximum transmission power of the transmission line # l in the power grid,
Figure FDA00024762322400000511
for the transmission power of the No. l transmission line in the y-th year, t moment and s operation scene, the constraint of the transmission network is that the power flow on the line cannot exceed the transmission power of the line;
(2-2-8) operation constraint of the power grid thermal power generating unit, which comprises the following specific steps:
Figure FDA00024762322400000512
the above formula constrains the output of a single thermal power generating unit in the power grid, wherein,
Figure FDA00024762322400000513
the installed capacity of the No. g thermal power generating unit in the power grid of the y year,
Figure FDA00024762322400000514
the output of a single thermal power generating unit does not exceed the installed capacity of the unit for the transmission power of the No. g unit in the power grid under the operation scenes of the year y, the moment t and the time s;
Figure FDA00024762322400000515
the above formula restricts the starting capacity of the thermal power generating unit in the power grid, wherein, the subscript i represents the power grid thermal power generating unit of the ith class,
Figure FDA00024762322400000516
for the thermal power generating unit set belonging to the i-th class,
Figure FDA00024762322400000517
the online capacity of the i-th type thermal power generating unit in the y-th year, t moment and s operation scene is represented, and the starting capacity of the thermal power generating unit in the power grid should not be larger than the installed capacity of the thermal power generating unit and not smaller than the generated output of the thermal power generating unit at the moment;
Figure FDA00024762322400000518
the above formula constrains the minimum output of the clustering unit represented by the power grid thermal power generating unit of the ith class, wherein,
Figure FDA00024762322400000519
the minimum output rate of the thermal power generating unit of the ith type power grid is obtained,
Figure FDA00024762322400000520
the value range of (1) is 0-1;
Figure FDA00024762322400000521
the upper formula restrains the climbing capacity and the descending capacity of a thermoelectric generator set in the power grid, the upper mark DN represents descending climbing, and the UP represents ascending climbing, wherein
Figure FDA00024762322400000522
Respectively representing the downward-regulating climbing capacity and the upward-regulating climbing capacity of a fire-electric generating set in the power grid;
Figure FDA0002476232240000061
the above formula gives the relation among the on-line capacity, the startup capacity and the shutdown capacity of the i-th type unit, in the formula,
Figure FDA0002476232240000062
showing the online capacity of the i-th class of thermoelectric generation set in the y-th year, t-1 moment and s operation scene,
Figure FDA0002476232240000063
Figure FDA0002476232240000064
are respectively electricityThe starting capacity and the shutdown capacity of the ith type of thermoelectric generator set in the network under the operation scenes of the y year, the t moment and the s operation,
Figure FDA0002476232240000065
the first line of the above formula constrains the minimum startup time of the ith type unit, the second line constrains the minimum shutdown time of the ith type unit, in the formula,
Figure FDA00024762322400000611
respectively the minimum starting time and the minimum stopping time of the i-th class of thermoelectric generator set;
(2-2-9) operation constraint of the power grid wind turbine generator, which specifically comprises the following steps:
Figure FDA0002476232240000066
the above formula constrains that the output of any wind power plant in the power grid must not exceed the predicted wind power output value at that moment of the scene, in the formula,
Figure FDA0002476232240000067
the method comprises the steps that a wind power plant normalized predicted power value of a No. w wind turbine generator in the y-th year, t-time and s-operation scene is obtained, and the predicted wind power output value and the wind power plant normalized predicted power value are obtained from historical data of power grid dispatching respectively;
(2-2-10) operation constraint of the grid photovoltaic unit, which comprises the following specific steps:
Figure FDA0002476232240000068
in the formula (I), the compound is shown in the specification,
Figure FDA0002476232240000069
the power value is normalized and predicted for the photovoltaic power station of pv photovoltaic set under the y-year, t-time and s-operation scene, and the formula restricts the output of any photovoltaic power station and one photovoltaic power station in the power gridThe predicted photovoltaic output value of the scene at the moment is not exceeded;
(2-2-11) power grid standby constraint, which comprises the following specific steps:
Figure FDA00024762322400000610
in the formula (I), the compound is shown in the specification,
Figure FDA0002476232240000071
load shedding power r of the nth node of the power grid under the operation scene of s at the time tLoad、rRESRespectively representing a power grid load prediction error and a wind power photovoltaic unit output prediction error, wherein the above formula ensures that the power generation capacity of the power grid can still meet the maximum load requirement of the power grid under the most unfavorable prediction error;
(2-3) obtaining a power grid side energy storage device capacity calculation model considering the electricity consumption cost of the energy storage device and taking the lowest power grid investment operation cost as a target according to the optimization planning objective function, the power grid operation constraint and the investment operation cost in the step (2-1) and the step (2-2);
(3) and (3) acquiring parameters of the electrochemical energy storage device and the physical energy storage device from a delivery nameplate of the electrochemical energy storage device, solving the power grid side energy storage device capacity calculation model in the step (2) by using a CPLEX mixed integer linear programming method to obtain the power grid side energy storage device capacity, and realizing the calculation of the power grid side energy storage device capacity considering the power consumption cost of the energy storage device.
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